AgentQL is a developer toolset that connects LLMs and AI agents to the web. It uses an AI-powered query language to robustly extract structured data and automate web interactions, serving as a powerful, self-healing alternative to fragile XPath and CSS selectors.
Apify is a full-stack web scraping and automation platform that enables developers to build, deploy, and publish data extraction tools, known as 'Actors'. It offers a vast marketplace of pre-built scrapers for popular websites like Google Maps, Instagram, and TikTok, alongside a robust cloud infrastructure for creating custom solutions. With support for Python and JavaScript, open-source libraries, and seamless integrations, Apify simplifies collecting web data at any scale.
AgentQL is a developer toolset that connects LLMs and AI agents to the web. It uses an AI-powered query language to robustly extract structured data and automate web interactions, serving as a powerful, self-healing alternative to fragile XPath and CSS selectors.
Apify is a full-stack web scraping and automation platform that enables developers to build, deploy, and publish data extraction tools, known as 'Actors'. It offers a vast marketplace of pre-built scrapers for popular websites like Google Maps, Instagram, and TikTok, alongside a robust cloud infrastructure for creating custom solutions. With support for Python and JavaScript, open-source libraries, and seamless integrations, Apify simplifies collecting web data at any scale.
| Feature | AgentQL | Apify |
|---|---|---|
| Primary category | Llm | Data Collection |
| Added | 2025-08-02 | 2025-08-16 |
| Pricing | Freemium | Freemium |
| Official website | www.agentql.com | apify.com |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 19.7K | 4.4M |
| Monthly growth | 2.3% | 7% |
| Favorites | 102 | 102 |
| Details | View details | View details |
Compare AgentQL and Apify by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
In the AgentQL vs Apify monthly traffic comparison, AgentQL currently shows 19.7K visits and Apify shows 4.4M; Apify has about 223.8 times the visible traffic of AgentQL, an absolute difference of about 4.4M visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 49.81% | 9.8K |
| 🇮🇳India | 20.61% | 4.1K |
| 🇬🇧United Kingdom | 17.65% | 3.5K |
| 🇩🇪Germany | 6.43% | 1.3K |
| 🇻🇳Vietnam | 5.5% | 1.1K |
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 81.96% | 16.2K |
| Referral | 18.04% | 3.6K |
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 40.31% | 1.8M |
| 🇮🇳India | 31.99% | 1.4M |
| 🇧🇷Brazil | 10.35% | 457.4K |
| 🇬🇧United Kingdom | 8.77% | 387.5K |
| 🇩🇪Germany | 8.58% | 379.1K |
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 84.73% | 3.7M |
| Referral | 11.9% | 525.9K |
| 3.37% | 148.9K |
This in-depth AgentQL vs Apify comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. AgentQL is primarily listed under “Llm”, while Apify is primarily listed under “Data Collection”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (AgentQL: Llm; Apify: Data Collection); Monthly visits (AgentQL: 19.7K; Apify: 4.4M); Monthly growth (AgentQL: 2.3%; Apify: 7%); Website (AgentQL: www.agentql.com; Apify: apify.com); Added (AgentQL: 2025-08-02; Apify: 2025-08-16). These facts are more useful for selection than brand visibility alone.
In the AgentQL vs Apify monthly traffic comparison, AgentQL currently shows 19.7K visits and Apify shows 4.4M; Apify has about 223.8 times the visible traffic of AgentQL, an absolute difference of about 4.4M visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Apify first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
AgentQL and Apify currently overlap in shared categories: Data Extraction, Web Scraping, and Automation; shared tags: API, automation, data extraction, and web scraping. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
AgentQL's unique categories/tags are Llm, AI agent, developer tool, LangChain, llm, PDF parsing, Playwright, and structured data; Apify's are Data Collection, AI data, data mining, developer tools, javascript, lead generation, python, and RAG. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
AgentQL has no verified rating, 0 comments, 102 favorites, and 118 likes；Apify has no verified rating, 0 comments, 102 favorites, and 104 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Put AgentQL on the priority trial list when the task aligns with “Llm” and especially Llm, AI agent, developer tool, LangChain, llm, and PDF parsing. This follows recorded positioning and does not imply unlisted capabilities are absent.
AgentQL also currently records: pricing is freemium, product type is website, 19.7K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
Put Apify on the priority trial list when the task aligns with “Data Collection” and especially Data Collection, AI data, data mining, developer tools, javascript, and lead generation. This follows recorded positioning and does not imply unlisted capabilities are absent.
Apify also currently records: pricing is freemium, product type is website, 4.4M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in AgentQL and Apify, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
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